Orpheus: Transforming Biomedical Research with Superior Search Accuracy

Accessing accurate and relevant information is crucial for progress in biomedical research. Traditional article-based queries, while valuable, encounter challenges that impede the seamless extraction of insights from the vast sea of scientific data. 

Recognizing the need for a solution beyond conventional approaches, we have introduced Orpheus, a Foundational Graph AI revolutionizing biomedical research. Our platform offers superior search accuracy to organizations seeking to leverage the potential of AI to gain accurate and precise information, accelerating their biomedical research.

In this blog, we will discuss one of the many distinctive features of Orpheus: Superior Search Accuracy.  

Let’s explore how Orpheus is better than platforms like Pubmed and Google and how organizations can take advantage of Orpheus for precise and efficient biomedical research.

The Challenge of Biomedical Queries 

Complex relationships and dependencies among various factors create a web of information that demands precision in retrieval. Accessing biomedical information presents several challenges rooted in the intricate nature of the data.

Let’s explore some of these challenges:

  • Structural limitations of traditional searches: Traditional search methods, designed to interpret complex queries, face challenges in capturing the nuanced relationships within biomedical data. This limitation results in a lack of accuracy and hinders researchers’ ability to obtain the most relevant information.
  • Diversity of biomedical data forms: Biomedical data encompasses various forms, including images from CAT and MRI scans, signals from EEG, laboratory data, and clinical information. This diversity adds complexity to the analysis and accurate retrieval processes.
  • Unoptimized and unorganized data: The sheer volume of interconnected biomedical data, often unoptimized and lacking organization, presents challenges, such as difficulty in efficiently browsing and retrieving relevant information. This leads to gaps in the retrieval of precise and accurate information. 

Redefining Biomedical Research with Orpheus

Orpheus emerges as a transformative solution to the biomedical research challenges. With its superior search accuracy, Orpheus navigates the complex relationships within biomedical data, surpassing the limitations of traditional article-based research. 

By offering an advanced and efficient search structure, Orpheus helps researchers overcome the complexity of queries, ensuring the retrieval of accurate and relevant information for groundbreaking biomedical discoveries. 

Orpheus vs. Competition: Search Accuracy Comparison

Orpheus is built upon a wealth of interconnected factual data drawn from diverse biomedical sources. This extensive compilation enables researchers to explore beyond the boundaries of isolated studies. 

Let’s explore how Orpheus offers superior search accuracy compared to other platforms. 

Systems Analyzed

1. Pubmed
  • Method: Direct search using query.
2. Google
3. Orpheus
  • Method: Direct search within the Orpheus platform using the query.

Metrics Used for Comparison

  • Precision @ 20
  • Recall @ 20
  • NDCG @ 20

Graphical Representation of Results

To assess the effectiveness of search platforms compared, we used three essential metrics. These metrics helped assess the platforms’ precision, recall, and document ranking capabilities. Let’s explore each metric to understand the strengths and limitations of these platforms. 

1. Precision @ 20

To evaluate the precision of each search platform, we utilized the Precision @ 20 metric. This metric gauges the ratio of relevant documents retrieved to the total number of retrieved documents, with a fixed limit of 20.

Observations
  • Orpheus: The box plot reveals a median precision of 10%, indicating that, on average, Orpheus successfully retrieves 2 relevant documents out of the top 20 results. This noteworthy performance positions Orpheus distinctly ahead of its counterparts.
  • Pubmed and Google: In stark contrast, both Pubmed and Google exhibit a median precision of 0%, suggesting that their performance in retrieving specifically relevant documents within the top 20 results is considerably lower compared to Orpheus.

While 10% may seem low, it’s important to note that we used queries from BioAsq with specific documents labeled as relevant. This was a complex task compared to generic searches, as we sought documents tailored to answer precise questions. 

2. Recall @ 20

The Recall @ 20 was used to assess the platforms’ abilities to retrieve all relevant documents among the total relevant set. 

Observations
  • Orpheus: Despite the inherent difficulty of the task, Orpheus demonstrates a median recall of 33%, indicating that, on average, it successfully identifies and retrieves one-third of the relevant documents within the search results.
  • Pubmed and Google: Both Pubmed and Google, in this context, exhibit a median recall of 0%, underlining the challenge of obtaining comprehensive and relevant results within the top 20 outcomes.

The observations highlight the task’s difficulty. Despite obtaining numerous results, achieving high recall indicates there are very few relevant results per question, emphasizing the challenge of identifying specific documents.

3. NDCG @ 20

The NDCG (Normalized Discounted Cumulative Gain) @ 20 metric was used to assess the effectiveness of search platforms in ranking relevant documents. It helped us evaluate the presence of relevant documents, emphasizing their positioning within the top 20 results and giving higher scores to documents that are ranked more prominently. 

Observations
  • Orpheus: Orpheus stands out by achieving a higher NDCG score. This indicates that Orphues retrieved a greater quantity of relevant documents and ranked them more prominently in the search results, highlighting its proficiency in delivering well-prioritized and relevant information.
  • Pubmed and Google: In contrast, Pubmed and Google exhibited lower NDCG scores, suggesting that their respective platforms may not prioritize the ranking of relevant documents as effectively as Orpheus, leading to potentially less optimized search result presentations.

The Orpheus Advantage 

Orpheus offers a distinctive set of advantages empowering researchers to access and navigate complex biomedical data. 

Let’s explore the key elements that set Orpheus apart from its competitors. 

  • Advanced algorithms and knowledge graph: Orpheus leverages advanced algorithms and a robust knowledge graph that is built upon a vast repository of interconnected biomedical data. This combination allows for the intelligent parsing and analysis of complex information, ensuring a comprehensive and nuanced understanding of the biomedical information. 
  • Semantic understanding of complex biomedical queries: One of Orpheus’ standout features is its ability to comprehend and interpret complex biomedical queries at a semantic level. It goes beyond traditional article-based searches, enabling users to articulate complex questions in natural language. The system’s semantic understanding facilitates more accurate and contextually relevant search outcomes.
  • Highly accurate and relevant search results: The precision of search results is a crucial concern in the biomedical domain, where accuracy can significantly impact research outcomes. Orpheus excels in delivering highly accurate and contextually relevant search results, thanks to its advanced algorithms, semantic analysis, and curated knowledge graph.
  • Quick access to precise biomedical information: Orpheus is designed for efficiency, offering users rapid access to precise biomedical information. The system’s streamlined processes, coupled with its semantic understanding and advanced algorithms, ensure that users can rapidly navigate through a wealth of data, saving valuable time in the research process.

Try Orpheus today and experience precise and superior search accuracy!

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